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Imaging glucose metabolism to reveal tumor progression

Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits...

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Autores principales: Meng, Yiming, Sun, Jing, Zhang, Guirong, Yu, Tao, Piao, Haozhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932271/
https://www.ncbi.nlm.nih.gov/pubmed/36818450
http://dx.doi.org/10.3389/fphys.2023.1103354
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author Meng, Yiming
Sun, Jing
Zhang, Guirong
Yu, Tao
Piao, Haozhe
author_facet Meng, Yiming
Sun, Jing
Zhang, Guirong
Yu, Tao
Piao, Haozhe
author_sort Meng, Yiming
collection PubMed
description Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits cell apoptosis. Molecular imaging technology combines molecular biology and cell probe technology to visualize, characterize, and quantify processes at cellular and subcellular levels in vivo. Modern instruments, including molecular biochemistry, data processing, nanotechnology, and image processing, use molecular probes to perform real-time, non-invasive imaging of molecular and cellular events in living organisms. Conclusion: Molecular imaging is a non-invasive method for live detection, dynamic observation, and quantitative assessment of tumor glucose metabolism. It enables in-depth examination of the connection between the tumor microenvironment and tumor growth, providing a reliable assessment technique for scientific and clinical research. This new technique will facilitate the translation of fundamental research into clinical practice.
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spelling pubmed-99322712023-02-17 Imaging glucose metabolism to reveal tumor progression Meng, Yiming Sun, Jing Zhang, Guirong Yu, Tao Piao, Haozhe Front Physiol Physiology Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits cell apoptosis. Molecular imaging technology combines molecular biology and cell probe technology to visualize, characterize, and quantify processes at cellular and subcellular levels in vivo. Modern instruments, including molecular biochemistry, data processing, nanotechnology, and image processing, use molecular probes to perform real-time, non-invasive imaging of molecular and cellular events in living organisms. Conclusion: Molecular imaging is a non-invasive method for live detection, dynamic observation, and quantitative assessment of tumor glucose metabolism. It enables in-depth examination of the connection between the tumor microenvironment and tumor growth, providing a reliable assessment technique for scientific and clinical research. This new technique will facilitate the translation of fundamental research into clinical practice. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9932271/ /pubmed/36818450 http://dx.doi.org/10.3389/fphys.2023.1103354 Text en Copyright © 2023 Meng, Sun, Zhang, Yu and Piao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Meng, Yiming
Sun, Jing
Zhang, Guirong
Yu, Tao
Piao, Haozhe
Imaging glucose metabolism to reveal tumor progression
title Imaging glucose metabolism to reveal tumor progression
title_full Imaging glucose metabolism to reveal tumor progression
title_fullStr Imaging glucose metabolism to reveal tumor progression
title_full_unstemmed Imaging glucose metabolism to reveal tumor progression
title_short Imaging glucose metabolism to reveal tumor progression
title_sort imaging glucose metabolism to reveal tumor progression
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932271/
https://www.ncbi.nlm.nih.gov/pubmed/36818450
http://dx.doi.org/10.3389/fphys.2023.1103354
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